CN115062901A - Assessment method for electric power informatization comprehensive performance - Google Patents
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Abstract
The invention relates to the technical field of electric power information systems, in particular to an evaluation method of electric power informatization comprehensive performance. The method for evaluating the electric power informatization comprehensive performance monitors the operation state of an electric power information system in real time through monitoring equipment, if the acquisition equipment monitors that new operation data are not acquired within two minutes, an alarm device is driven to give an alarm to remind a worker of system faults, the real-time state value of each characteristic item is divided into fuzziness whether the characteristic item is healthy or not, a binary division method for whether the characteristic item is healthy or not is modified into a division method for multiple state grades, and a high-efficiency evaluation means of the system is always kept through the self-learning capability of the system.
Description
Technical Field
The invention relates to the technical field of electric power information systems, in particular to an evaluation method for electric power informatization comprehensive performance.
Background
The development characteristics of the power information system show regional differences along with different economic levels, society, resources and environmental conditions of regions, only a large amount of statistical data is observed and compared singly, the power information development levels of different regions and periods are difficult to quantitatively analyze, and the space-time characteristics and the differences of power informatization development are difficult to accurately know, so that the research on quantitative comprehensive evaluation of the power informatization development levels has important significance for comprehensively knowing the regional power informatization levels and providing scientific guidance for future power grid informatization construction.
Chinese patent publication No. CN107292476B discloses an evaluation method of power informatization comprehensive performance, which comprises the following steps of determining an evaluation object of the power informatization comprehensive performance, collecting related data according to the evaluation object, using the collected related data to calculate an evaluation value of the evaluation object, preferably, the evaluation object comprises construction quality CQ, operation level OL, application effect AR and economic benefit EBS.
However, the following problems still exist in the operation of performance evaluation, and under the operation state of the power information system, corresponding supervision and maintenance processing needs to be performed by combining related personnel, so that the manual pressure is increased in the aspect of the work, the supervision process is limited by manpower, the statistical efficiency is low, error evaluation is easy to occur, and in the use of the system for comprehensive performance evaluation, which weight distribution method and construction of the comprehensive evaluation scoring system are adopted are key problems for constructing the operation state model of the power information system.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides the electric power informatization comprehensive performance evaluation method which has the advantages of improving manual limitation, reducing error rate, strengthening monitoring and early warning and the like, and solves the problems.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: an assessment method for electric power informatization comprehensive performance comprises the following steps:
the method comprises the steps of firstly, determining an evaluation object of the electric power informatization comprehensive performance, acquiring a plurality of characteristic items and operation data of the characteristic items for evaluating the operation state of an electric power information system, preprocessing the operation data, shielding contents irrelevant to the operation data, and calculating the evaluation value of the evaluation object by using the collected operation data.
And secondly, distributing the initial weight to each characteristic item to carry out a correction process twice by using the importance coefficient of each characteristic item to the running state of the evaluation system, wherein the second correction process is to determine a dynamic conversion coefficient according to the real-time state value of the characteristic item and convert the weight after the first correction into the dynamic weight.
And thirdly, the performance output unit is used for generating an animation chart, a report style, a pie chart, a curve chart, a column chart, a bar chart, a dashboard or a honeycomb chart through the analysis and production of a Fusion-Chars chart tool, a report type control, a statistical analysis type control and a layout type control.
And step four, monitoring the operating state of the electric power information system in real time through monitoring equipment, and simultaneously transmitting the operating state to acquisition equipment through an A/D conversion signal, wherein the operating data acquired in the step one is simultaneously transmitted to the next process, and if the acquisition equipment monitors that no new operating data is acquired within two minutes, the acquisition equipment drives an alarm device to give an alarm to remind a worker of system failure.
An assessment method for electric power informatization comprehensive performance comprises the steps of constructing a network attack effect quantitative assessment model by using an analytic hierarchy process and a fuzzy evaluation method, and quantifying a normalized value ai which threatens system safety when an abnormal point i exists at the moment t by using the assessment model, wherein the ai belongs to [0.2], and the method is used for calculating a real-time state value of each characteristic item and a fuzzy membership relation of each state grade according to preset characteristic item state grades and membership functions.
Preferably, newly acquired operation data is imported into the health assessment model, the operation data and the health data in the health assessment model are compared, and the test set is imported into the health assessment model for training until the health assessment model can be accurately matched with the training set and the test set.
Preferably, the corresponding label state and the corresponding evaluation of the corresponding state are marked according to the existing power utilization data information in the power grid, and an initial data set participating in training is formed.
Preferably, for the collected power grid data information, a part of the collected data is randomly sent to a background database and labeled, a new data set generated by the labeling is put into a training data set, and meanwhile, a new data set weight B is given to the new data set, wherein K is the number of times of adding the new data, F represents that the current data is the new added data, and the old data is the training data set used before the new data set is put into.
(III) advantageous effects
Compared with the prior art, the invention provides an electric power informatization comprehensive performance evaluation method, which has the following beneficial effects:
the evaluation method of the electric power informatization comprehensive performance monitors the operation state of an electric power information system in real time through monitoring equipment, simultaneously transmits the operation state to acquisition equipment through an A/D conversion signal, if the acquisition equipment monitors that new operation data are not acquired within two minutes, an alarm device is driven to give an alarm to remind a worker of system faults, so that the operation state of the electric power information system does not need operation and maintenance personnel to carry out corresponding supervision, the manual pressure is reduced, the supervision process is not limited by manual work, the statistical efficiency is high, error evaluation is not easy to occur, in addition, an analytic hierarchy process and a fuzzy evaluation process are used for constructing a network attack effect quantitative evaluation model, the real-time state value of each characteristic item is divided into fuzziness whether the characteristic item is healthy or not, and a binary division method for judging whether the characteristic item is healthy or not is modified into a division method of multi-state grades, the possibility of multiple health levels of each characteristic item is acquired by adopting a fuzzy theory, the two aspects are combined to acquire a more comprehensive and accurate evaluation result, a test set is led into a health evaluation model for training, and the most accurate health evaluation value can be acquired by always maintaining an efficient evaluation means of the system through the self-learning capability of the system.
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Fig. 1 is a schematic structural diagram of an evaluation method for electric power informatization comprehensive performance according to the present invention;
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
an assessment method for electric power informatization comprehensive performance comprises the following steps:
the method comprises the steps of firstly, determining an evaluation object of the electric power informatization comprehensive performance, acquiring a plurality of characteristic items and operation data of the characteristic items for evaluating the operation state of the electric power information system, preprocessing the operation data, shielding the content irrelevant to the operation data, and calculating the evaluation value of the evaluation object by using the collected operation data.
And secondly, distributing the initial weight to each characteristic item to carry out a correction process twice by using the importance coefficient of each characteristic item to the running state of the evaluation system, wherein the second correction process is to determine a dynamic conversion coefficient according to the real-time state value of the characteristic item and convert the weight after the first correction into the dynamic weight.
And thirdly, the performance output unit is used for generating an animation chart, a report style, a pie chart, a curve chart, a column chart, a bar chart, a dashboard or a honeycomb chart through the analysis and production of a Fusion-Chars chart tool, a report type control, a statistical analysis type control and a layout type control.
And step four, monitoring the operating state of the electric power information system in real time through monitoring equipment, and simultaneously transmitting the operating state to acquisition equipment through an A/D conversion signal, wherein the operating data acquired in the step one is simultaneously transmitted to the next process, and if the acquisition equipment monitors that no new operating data is acquired within two minutes, the acquisition equipment drives an alarm device to give an alarm to remind a worker of system failure.
The method comprises the steps of establishing a network attack effect quantitative evaluation model by using an analytic hierarchy process and a fuzzy evaluation method, and quantizing a normalized value ai which threatens the system safety when an abnormal point i exists at the moment t by using the evaluation model, wherein the ai belongs to [0.2], and the normalized value ai is used for calculating the real-time state value of each characteristic item and the fuzzy membership of each state grade according to the preset state grade and membership function of the characteristic item;
importing newly acquired operation data into a health assessment model, comparing the operation data with the health data in the health assessment model, importing a test set into the health assessment model for training until the health assessment model can be accurately matched with the training set and the test set;
marking out a corresponding label state and corresponding evaluation of the corresponding state according to the existing power utilization data information in the power grid to form an initial data set participating in training;
for the collected power grid data information, randomly sending a part of the collected data into a background database, labeling, putting a new data set generated by the labeling into a training data set, and simultaneously giving a new data set weight B to the new data set, wherein K is the number of times of the added new data, F represents that the current data is the newly added data of the number of times, and the old data is the training data set used before the new data set is put into.
The electrical components presented in the document are all electrically connected with an external master controller and 220V mains, and the master controller can be a conventional known device controlled by a computer or the like.
To sum up, the evaluation method of the electric power informatization comprehensive performance monitors the operation state of the electric power information system in real time through the monitoring equipment, simultaneously transmits the operation state to the acquisition equipment through the A/D conversion signal, if the acquisition equipment monitors that new operation data are not acquired within two minutes, the alarm device is driven to give an alarm to remind a worker of system failure, so that the operation state of the electric power information system does not need operation and maintenance personnel to carry out corresponding supervision, the manual pressure is reduced, the supervision process is not limited by manual work, the statistical efficiency is high, error evaluation is not easy to occur, in addition, an analytic hierarchy process and a fuzzy evaluation process construct a network attack effect quantitative evaluation model, the real-time state value of each characteristic item is divided into the fuzziness of health or not, and a binary division method of health or not is modified into a division method of multi-state grades, the fuzzy theory is adopted to obtain the possibility of various health grades of each characteristic item, the two aspects are combined to obtain a more comprehensive and accurate evaluation result, the test set is led into the health evaluation model for training, the high-efficiency evaluation means of the system is always kept through the self-learning capability of the system, and the most accurate health degree evaluation value can be obtained.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the use of the verb "comprise a" to define an element does not exclude the presence of another, same element in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. An assessment method for electric power informatization comprehensive performance comprises the following steps:
determining an evaluation object of the electric power informatization comprehensive performance, acquiring a plurality of characteristic items and operation data of the characteristic items for evaluating the operation state of an electric power information system, preprocessing the operation data, shielding the content irrelevant to the operation data, and calculating the evaluation value of the evaluation object by using the collected operation data;
secondly, distributing an initial weight to each characteristic item to carry out a correction process twice on the importance coefficient of each characteristic item to the running state of the evaluation system, wherein the second correction process is to determine a dynamic conversion coefficient according to the real-time state value of the characteristic item and convert the weight after the first correction into a dynamic weight;
thirdly, the performance output unit is used for generating an animation chart, a report style, a pie chart, a curve chart, a bar chart, a meter panel or a honeycomb chart through Fusion-Chars chart tool analysis and production, a report type control, a statistical analysis type control and a layout type control;
and step four, monitoring the operating state of the electric power information system in real time through monitoring equipment, and simultaneously transmitting the operating state to acquisition equipment through an A/D conversion signal, wherein the operating data acquired in the step one is simultaneously transmitted to the next process, and if the acquisition equipment monitors that no new operating data is acquired within two minutes, the acquisition equipment drives an alarm device to give an alarm to remind a worker of system failure.
2. The method for evaluating the electric power informatization comprehensive performance comprises an evaluation model and is characterized in that: and (3) constructing a network attack effect quantitative evaluation model by using an analytic hierarchy process and a fuzzy evaluation method, and quantizing a normalized value ai which threatens the system safety when an abnormal point i exists at the time t by using the evaluation model, wherein the ai belongs to [0.2], and the normalized value ai is used for calculating the real-time state value of each characteristic item and the fuzzy membership of each state grade according to the preset state grade and membership function of the characteristic item.
3. The method for evaluating the electric power informatization comprehensive performance according to claim 2, characterized in that: and importing the newly acquired operation data into a health assessment model, comparing the operation data with the health data in the health assessment model, importing the test set into the health assessment model for training until the health assessment model can be accurately matched with the training set and the test set.
4. The method for evaluating the electric power informatization comprehensive performance according to claim 1, characterized in that: and marking the corresponding label state and the corresponding evaluation of the corresponding state according to the existing power utilization data information in the power grid to form an initial data set participating in training.
5. The method for evaluating the electric power informatization comprehensive performance according to claim 2, characterized in that: for the collected power grid data information, randomly sending a part of the collected data into a background database, labeling, putting a new data set generated by the labeling into a training data set, and simultaneously giving a new data set weight B to the new data set, wherein K is the number of times of the added new data, F represents that the current data is the newly added data of the number of times, and the old data is the training data set used before the new data set is put into.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116881737A (en) * | 2023-09-06 | 2023-10-13 | 四川川锅环保工程有限公司 | System analysis method in industrial intelligent monitoring system |
| CN117094607A (en) * | 2023-10-19 | 2023-11-21 | 北京国网信通埃森哲信息技术有限公司 | Assessment method and device for electric power informatization comprehensive performance |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116881737A (en) * | 2023-09-06 | 2023-10-13 | 四川川锅环保工程有限公司 | System analysis method in industrial intelligent monitoring system |
| CN116881737B (en) * | 2023-09-06 | 2023-12-15 | 四川川锅环保工程有限公司 | System analysis method in industrial intelligent monitoring system |
| CN117094607A (en) * | 2023-10-19 | 2023-11-21 | 北京国网信通埃森哲信息技术有限公司 | Assessment method and device for electric power informatization comprehensive performance |
| CN117094607B (en) * | 2023-10-19 | 2024-04-02 | 北京国网信通埃森哲信息技术有限公司 | Assessment method and device for electric power informatization comprehensive performance |
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